jomarie04/Philippine_Local_Fruits_Dataset

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license: cc0-1.0 task_categories: - text-classification - data-analysis language: - en - tl pretty_name: Philippine Local Fruits Dataset size_categories: - 1K<n<10K

🍍 Philippine Local Fruits Dataset

Dataset Description

This dataset contains information about common fruits found in the Philippines, including their local names, scientific names, seasonality, average price, and nutritional category.

The dataset is designed for educational use, machine learning projects, and data analysis applications.

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📌 Dataset Details

File Format: CSV
File Name: ph_local_fruits.csv
Total Columns: 6

Columns

Column Name	Description
fruit_name	Common English name of the fruit
local_name	Filipino or regional name
scientific_name	Scientific name of the fruit
season	Peak season in the Philippines
avg_price_php	Average market price (per kg)
category	Type of fruit (citrus, tropical, berry, etc.)

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📊 Sample Data

fruit_name	local_name	scientific_name	season	avg_price_php	category
Mango	Mangga	Mangifera indica	Summer	120	Tropical
Banana	Saging	Musa acuminata	Whole Year	60	Tropical
Pineapple	Pinya	Ananas comosus	Whole Year	50	Tropical
Lanzones	Lansones	Lansium domesticum	September	90	Tropical
Rambutan	Rambutan	Nephelium lappaceum	July	80	Tropical

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🎯 Possible Use Cases

This dataset can be used for:

• Data analysis projects
• Machine learning classification
• Agricultural research
• Price trend visualization
• Educational demonstrations
• Filipino language datasets

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🛠 How to Use

Example usage in Python:

import pandas as pd

df = pd.read_csv("ph_local_fruits.csv")
print(df.head())